





'''simple docstring'''






import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs
class 		lowerCamelCase	(   _A							):



	def __init__( self		,   a_		,   a_=None		,   a_=True		,   a_=None		,   **a_						):
			lowerCAmelCase  :     Any       						= parent
			lowerCAmelCase  :     Optional[int]       						= config_class
			lowerCAmelCase  :     Optional[Any]       						= has_text_modality
			lowerCAmelCase  :     List[str]       						= kwargs
			lowerCAmelCase  :     Any       						= common_properties



	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     List[str]       						= self.config_class(**self.inputs_dict						)
			lowerCAmelCase  :     Optional[Any]       						= (
			    ["hidden_size", "num_attention_heads", "num_hidden_layers"]
			    if self.common_properties is None
			    else self.common_properties
			)

			# Add common fields for text models
			if self.has_text_modality:
					common_properties.extend(["vocab_size"]						)

			# Test that config has the common properties as getters
			for prop in common_properties:
					self.parent.assertTrue(hasattr(a_		,   a_						)		,   msg=F'''`{prop}` does not exist'''						)

			# Test that config has the common properties as setter
			for idx, name in enumerate(a_						):
					try:
							setattr(a_		,   a_		,   a_						)
							self.parent.assertEqual(
							    getattr(a_		,   a_						)		,   a_		,   msg=F'''`{name} value {idx} expected, but was {getattr(a_		,   a_						)}'''						)
					except NotImplementedError:
							# Some models might not be able to implement setters for common_properties
							# In that case, a NotImplementedError is raised
							pass

        # Test if config class can be called with Config(prop_name=..)
			for idx, name in enumerate(a_						):
					try:
							lowerCAmelCase  :     List[Any]       						= self.config_class(**{name: idx}						)
							self.parent.assertEqual(
							    getattr(a_		,   a_						)		,   a_		,   msg=F'''`{name} value {idx} expected, but was {getattr(a_		,   a_						)}'''						)
					except NotImplementedError:
							# Some models might not be able to implement setters for common_properties
							# In that case, a NotImplementedError is raised
							pass



	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     Tuple       						= self.config_class(**self.inputs_dict						)
			lowerCAmelCase  :     Optional[Any]       						= json.loads(config.to_json_string()						)
			for key, value in self.inputs_dict.items():
					self.parent.assertEqual(obj[key]		,   a_						)



	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     str       						= self.config_class(**self.inputs_dict						)

			with tempfile.TemporaryDirectory() as tmpdirname:
					lowerCAmelCase  :     Dict       						= os.path.join(a_		,   "config.json"						)
					config_first.to_json_file(a_						)
					lowerCAmelCase  :     int       						= self.config_class.from_json_file(a_						)

			self.parent.assertEqual(config_second.to_dict()		,   config_first.to_dict()						)



	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     Optional[int]       						= self.config_class(**self.inputs_dict						)

			with tempfile.TemporaryDirectory() as tmpdirname:
					config_first.save_pretrained(a_						)
					lowerCAmelCase  :     Optional[Any]       						= self.config_class.from_pretrained(a_						)

			self.parent.assertEqual(config_second.to_dict()		,   config_first.to_dict()						)



	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     Tuple       						= self.config_class(**self.inputs_dict						)

			lowerCAmelCase  :     Dict       						= "test"
			with tempfile.TemporaryDirectory() as tmpdirname:
					lowerCAmelCase  :     Optional[int]       						= os.path.join(a_		,   a_						)
					config_first.save_pretrained(a_						)
					lowerCAmelCase  :     Dict       						= self.config_class.from_pretrained(a_		,   subfolder=a_						)

			self.parent.assertEqual(config_second.to_dict()		,   config_first.to_dict()						)



	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     Dict       						= self.config_class(**self.inputs_dict		,   num_labels=5						)
			self.parent.assertEqual(len(config.idalabel						)		,   5						)
			self.parent.assertEqual(len(config.labelaid						)		,   5						)

			lowerCAmelCase  :     List[Any]       						= 3
			self.parent.assertEqual(len(config.idalabel						)		,   3						)
			self.parent.assertEqual(len(config.labelaid						)		,   3						)



	def 	_lowerCamelCase     ( self						):
			if self.config_class.is_composition:
					return
			lowerCAmelCase  :     Optional[Any]       						= self.config_class()
			self.parent.assertIsNotNone(a_						)



	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     List[str]       						= copy.deepcopy(a_						)
			lowerCAmelCase  :     int       						= self.config_class(**a_						)
			lowerCAmelCase  :     Any       						= []
			for key, value in config_common_kwargs.items():
					if key == "torch_dtype":
							if not is_torch_available():
									continue
							else:
									import torch

									if config.torch_dtype != torch.floataa:
											wrong_values.append(("torch_dtype", config.torch_dtype, torch.floataa)						)
					elif getattr(a_		,   a_						) != value:
							wrong_values.append((key, getattr(a_		,   a_						), value)						)

			if len(a_						) > 0:
					lowerCAmelCase  :     Union[str, Any]       						= "\n".join([F'''- {v[0]}: got {v[1]} instead of {v[2]}''' for v in wrong_values]						)
					raise ValueError(F'''The following keys were not properly set in the config:\n{errors}'''						)





	def 	_lowerCamelCase     ( self						):
			self.create_and_test_config_common_properties()
			self.create_and_test_config_to_json_string()
			self.create_and_test_config_to_json_file()
			self.create_and_test_config_from_and_save_pretrained()
			self.create_and_test_config_from_and_save_pretrained_subfolder()
			self.create_and_test_config_with_num_labels()
			self.check_config_can_be_init_without_params()
			self.check_config_arguments_init()










'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


lowerCAmelCase									=   {
    """configuration_graphormer""": ["""GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GraphormerConfig"""],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					lowerCAmelCase									=   [
					    """GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
					    """GraphormerForGraphClassification""",
					    """GraphormerModel""",
					    """GraphormerPreTrainedModel""",
					]


if TYPE_CHECKING:
					from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_graphormer import (
										    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GraphormerForGraphClassification,
										    GraphormerModel,
										    GraphormerPreTrainedModel,
										)


else:
					import sys

					lowerCAmelCase									=   _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



